{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T06:24:09Z","timestamp":1756189449105,"version":"3.37.3"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T00:00:00Z","timestamp":1695945600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T00:00:00Z","timestamp":1695945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.52204177"],"award-info":[{"award-number":["No.52204177"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2020QN49"],"award-info":[{"award-number":["2020QN49"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-16914-5","type":"journal-article","created":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T10:02:37Z","timestamp":1695981757000},"page":"36329-36353","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Single image detail enhancement via metropolis theorem"],"prefix":"10.1007","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3345-9665","authenticated-orcid":false,"given":"He","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Mujtaba","family":"Asad","sequence":"additional","affiliation":[]},{"given":"Jingjing","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Haoxiang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Deqiang","family":"Cheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,29]]},"reference":[{"key":"16914_CR1","first-page":"1","volume":"2010","author":"K He","year":"2010","unstructured":"He K et al (2010) Guided Image Filtering. European Conference on Computer Vision (ECCV) 2010:1\u201314","journal-title":"European Conference on Computer Vision (ECCV)"},{"issue":"2010","key":"16914_CR2","first-page":"1397","volume":"35","author":"K He","year":"2010","unstructured":"He K et al (2010) Guided Image Filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(2010):1397\u20131409","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"16914_CR3","doi-asserted-by":"publisher","first-page":"4528","DOI":"10.1109\/TIP.2015.2468183","volume":"24","author":"F Kou","year":"2015","unstructured":"Kou F et al (2015) Gradient Domain Guided Image Filtering. IEEE Trans Image Process 24:4528\u20134539","journal-title":"IEEE Trans Image Process"},{"key":"16914_CR4","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1109\/TIP.2014.2371234","volume":"24","author":"Z Li","year":"2015","unstructured":"Li Z et al (2015) Weighted Guided Image Filtering. IEEE Trans Image Process 24:120\u2013129","journal-title":"IEEE Trans Image Process"},{"key":"16914_CR5","doi-asserted-by":"crossref","unstructured":"Jiang H et al.(2018) Learning In-Place Residual Homogeneity for Image Detail Enhancement. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp 1428\u20131432","DOI":"10.1109\/ICASSP.2018.8462182"},{"key":"16914_CR6","doi-asserted-by":"crossref","unstructured":"Jiang H et al (2020) Learning In-Place Residual Homogeneity for Single Image Detail Enhancement. J Electron Imaging 29:043016.1\u2013043016.19","DOI":"10.1117\/1.JEI.29.4.043016"},{"key":"16914_CR7","doi-asserted-by":"crossref","unstructured":"Zhang Q et al. (2014) Rolling Guidance Filter. 2014 European Conference on Computer Vision (ECCV). pp. 815\u2013830","DOI":"10.1007\/978-3-319-10578-9_53"},{"key":"16914_CR8","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1109\/LSP.2018.2867896","volume":"25","author":"Z Lu","year":"2018","unstructured":"Lu Z et al (2018) Effective Guided Image Filtering for Contrast Enhancement. IEEE Sig Process Lett 25:1585\u20131589","journal-title":"IEEE Sig Process Lett"},{"key":"16914_CR9","first-page":"222","volume":"2017","author":"X Tao","year":"2017","unstructured":"Tao X et al (2017) Zero-Order Reverse Filtering. IEEE International Conference on Computer Vision (ICCV). 2017:222\u2013230","journal-title":"IEEE International Conference on Computer Vision (ICCV)."},{"key":"16914_CR10","doi-asserted-by":"crossref","unstructured":"Liu W et al (2020) Real-time Image Smoothing via Iterative Least Squares. ACM Trans Graph 39:28.1\u201328.24","DOI":"10.1145\/3388887"},{"key":"16914_CR11","doi-asserted-by":"crossref","unstructured":"Farbman Z et al (2008) Edge-Preserving Decompositions for Multi-Scale Tone and Detail Manipulation. 2008 ACM Conference on SIGGRAPH (SIGGRAPH). pp 67.1\u201367.10","DOI":"10.1145\/1399504.1360666"},{"key":"16914_CR12","doi-asserted-by":"crossref","unstructured":"Xu L et al (2011) Image Smoothing via L0 Gradient Minimization. ACM Trans Graph 174.1\u2013174.11","DOI":"10.1145\/2070781.2024208"},{"key":"16914_CR13","doi-asserted-by":"publisher","first-page":"1740","DOI":"10.1109\/TCSVT.2013.2248305","volume":"23","author":"H Xu","year":"2013","unstructured":"Xu H et al (2013) Single Image Super-Resolution with Detail Enhancement Based on Local Fractal Analysis of Gradient. IEEE Trans Circuits Syst Video Technol 23:1740\u20131754","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"16914_CR14","doi-asserted-by":"publisher","first-page":"2536","DOI":"10.1109\/TMI.2018.2838550","volume":"37","author":"J Cheng","year":"2018","unstructured":"Cheng J et al (2018) Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis. IEEE Trans Med Imaging 37:2536\u20132546","journal-title":"IEEE Trans Med Imaging"},{"key":"16914_CR15","doi-asserted-by":"crossref","unstructured":"Bevilacqua M et al (2012) Low-Complexity Single-Image Super-Resolution Based on Nonnegative Neighbor Embedding. 2012 British Machine Vision Conference (BMVC). pp 135.1\u2013135.10","DOI":"10.5244\/C.26.135"},{"key":"16914_CR16","first-page":"711","volume":"2010","author":"R Zeyde","year":"2010","unstructured":"Zeyde R et al (2010) On Single Image Scale-Up Using Sparse-Representations. IEEE International Conference on Curves and Surfaces (CS). 2010:711\u2013730","journal-title":"IEEE International Conference on Curves and Surfaces (CS)."},{"key":"16914_CR17","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbel\u00e1ez","year":"2011","unstructured":"Arbel\u00e1ez P et al (2011) Contour Detection and Hierarchical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell 33:898\u2013916","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell"},{"key":"16914_CR18","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z et al (2004) Image Quality Assessment: from Error Visibility to Structural Similarity. IEEE Trans Image Process 13:600\u2013612","journal-title":"IEEE Trans Image Process"},{"key":"16914_CR19","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1109\/LSP.2014.2353774","volume":"22","author":"F Kou","year":"2015","unstructured":"Kou F et al (2015) Content Adaptive Image Detail Enhancement. IEEE Signal Process Lett 22:211\u2013215","journal-title":"IEEE Signal Process Lett"},{"key":"16914_CR20","doi-asserted-by":"crossref","unstructured":"Tomasi C et al (1998) Bilateral Filtering for Gray and Color Images. 1998 IEEE International Conference on Computer Vision (ICCV). pp 839\u2013846","DOI":"10.1109\/ICCV.1998.710815"},{"key":"16914_CR21","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1109\/TCSVT.2018.2890202","volume":"30","author":"W Liu","year":"2018","unstructured":"Liu W et al (2018) Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. IEEE Trans Circuits Syst Video Technol 30:23\u201335","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"16914_CR22","doi-asserted-by":"crossref","unstructured":"Ma Z et al (2013) Constant Time Weighted Median Filtering for Stereo Matching and Beyond. 2013 IEEE International Conference on Computer Vision (ICCV). pp 49\u201356","DOI":"10.1109\/ICCV.2013.13"},{"key":"16914_CR23","doi-asserted-by":"crossref","unstructured":"Zhang Q et al. (2014) 100+ Times Faster Weighted Median Filter. 2014 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). pp 2830\u20132837","DOI":"10.1109\/CVPR.2014.362"},{"key":"16914_CR24","doi-asserted-by":"publisher","first-page":"1919","DOI":"10.1109\/TIP.2015.2403238","volume":"24","author":"Q Yang","year":"2015","unstructured":"Yang Q (2015) Recursive Approximation of the Bilateral Filter. IEEE Trans Image Process 24:1919\u20131927","journal-title":"IEEE Trans Image Process"},{"key":"16914_CR25","doi-asserted-by":"publisher","first-page":"4079","DOI":"10.1109\/TIP.2017.2710621","volume":"26","author":"Y Kim","year":"2017","unstructured":"Kim Y et al (2017) Fast Domain Decomposition for Global Image Smoothing. IEEE Trans Image Process 26:4079\u20134091","journal-title":"IEEE Trans Image Process"},{"key":"16914_CR26","doi-asserted-by":"crossref","unstructured":"Wang Y et al (2017) Adaptive Enhancement for Nonuniform Illumination Images via Nonlinear Mapping. J Electron Imaging 26:053012.1\u2013053012.16","DOI":"10.1117\/1.JEI.26.5.053012"},{"key":"16914_CR27","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/TCE.2014.6780920","volume":"60","author":"D Kim","year":"2014","unstructured":"Kim D et al (2014) Lens Distortion Correction and Enhancement Based on Local Self-similarity for High-quality Consumer Imaging Systems. IEEE Trans Consum Electron 60:18\u201322","journal-title":"IEEE Trans Consum Electron"},{"key":"16914_CR28","doi-asserted-by":"crossref","unstructured":"Chen Y-S et al (2018) Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs. 2018 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). pp 6306\u20136314","DOI":"10.1109\/CVPR.2018.00660"},{"key":"16914_CR29","doi-asserted-by":"crossref","unstructured":"Deng Y et al (2017) Aesthetic-Driven Image Enhancement by Adversarial Learning. 2017 ACM International Conference on Multimedia (ACM MM). pp 870\u2013878","DOI":"10.1145\/3240508.3240531"},{"key":"16914_CR30","first-page":"1","volume":"1","author":"L Jian","year":"2018","unstructured":"Jian L et al (2018) Pansharpening Using a Guided Image Filter Based on Dual-scale Detail Extraction. J Ambient Intell Humaniz Comput 1:1\u201315","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"16914_CR31","doi-asserted-by":"crossref","unstructured":"Ghosh S et al (2019) Saliency Guided Image Detail Enhancement. 2019 National Conference on Communications (NCC). pp 1\u20136","DOI":"10.1109\/NCC.2019.8732250"},{"key":"16914_CR32","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1063\/1.1699114","volume":"21","author":"N Metropolis","year":"1953","unstructured":"Metropolis N et al (1953) Equation of State Calculations by Fast Computing Machines. J Chem Phys 21:1087\u20131092","journal-title":"J Chem Phys"},{"key":"16914_CR33","doi-asserted-by":"publisher","first-page":"6631","DOI":"10.1109\/TPAMI.2021.3097891","volume":"44","author":"W Liu","year":"2019","unstructured":"Liu W et al (2019) A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. IEEE Trans Pattern Anal Mach Intell 44:6631\u20136648","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"16914_CR34","doi-asserted-by":"crossref","unstructured":"Dong C et al (2016) Accelerating the Super-Resolution Convolutional Neural Network. 2016 European Conference on Computer Vision (ECCV). pp 391\u2013407","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"16914_CR35","doi-asserted-by":"crossref","unstructured":"Gharbi M et al (2017) Deep Bilateral Learning for Real-time Image Enhancement. ACM Trans Graph 36:118.1\u2013118.12","DOI":"10.1145\/3072959.3073592"},{"key":"16914_CR36","doi-asserted-by":"publisher","first-page":"1909","DOI":"10.1109\/TPAMI.2018.2890623","volume":"41","author":"Y Li","year":"2017","unstructured":"Li Y et al (2017) Joint Image Filtering with Deep Convolutional Networks. IEEE Trans Pattern Anal Mach Intell 41:1909\u20131923","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"16914_CR37","doi-asserted-by":"crossref","unstructured":"Wu H et al (2018) Fast End-to-End Trainable Guided Filter. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). pp 1838\u20131847","DOI":"10.1109\/CVPR.2018.00197"},{"key":"16914_CR38","doi-asserted-by":"publisher","first-page":"1867","DOI":"10.1007\/s11263-020-01303-4","volume":"128","author":"D Ulyanov","year":"2017","unstructured":"Ulyanov D et al (2017) Deep Image Prior. Int J Comput Vis 128:1867\u20131888","journal-title":"Int J Comput Vis"},{"key":"16914_CR39","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/TPAMI.2019.2925793","volume":"43","author":"Q Fan","year":"2021","unstructured":"Fan Q et al (2021) A General Decoupled Learning Framework for Parameterized Image Operators. IEEE Trans Pattern Anal Mach Intell 43:33\u201347","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"16914_CR40","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1111\/cgf.14681","volume":"41","author":"J Wang","year":"2022","unstructured":"Wang J et al (2022) Contrastive Semantic-Guided Image Smoothing Network. Comput Graph Forum 41:335\u2013346","journal-title":"Comput Graph Forum"},{"key":"16914_CR41","doi-asserted-by":"publisher","first-page":"3556","DOI":"10.1109\/TIP.2019.2908778","volume":"28","author":"F Zhu","year":"2019","unstructured":"Zhu F et al (2019) A Benchmark for Edge-Preserving Image Smoothing. IEEE Trans Image Process 28:3556\u20133570","journal-title":"IEEE Trans Image Process"},{"key":"16914_CR42","doi-asserted-by":"crossref","unstructured":"Lim B et al (2017) Enhanced Deep Residual Networks for Single Image Super-Resolution. 2017 IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp 1132\u20131140","DOI":"10.1109\/CVPRW.2017.151"},{"key":"16914_CR43","doi-asserted-by":"crossref","unstructured":"Zhang Y et al (2018) Image Super-Resolution Using Very Deep Residual Channel Attention Networks. 2018 European Conference on Computer Vision (ECCV). pp 294\u2013310","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"16914_CR44","unstructured":"Zhang Y et al (2021) Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. 2021 Neural Information Processing Systems (NeurIPS). pp 1\u201312"},{"key":"16914_CR45","unstructured":"Zhang Y et al (2022) Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. 2022 International Conference on Learning Representations (ICLR). pp 1-12"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16914-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-16914-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16914-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T13:37:08Z","timestamp":1712065028000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-16914-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,29]]},"references-count":45,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["16914"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-16914-5","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2023,9,29]]},"assertion":[{"value":"20 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 August 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 September 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they are not aware of the possibility of competing for financial interests or personal relationships affecting the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interest"}}]}}